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Objective: To analyze the social network of mothers, fathers or guardians of transgender children or adolescents.

Methods: This was a qualitative study, based on the theoretical framework of social network, with a focus on the primary network. The study was conducted in Brazil through online interviews between August and October 2021.

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Expert perspectives on tuberculosis screening procedures for migrants.

J Bras Pneumol

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. EPIUnit ITR, Instituto de Saúde Pública da Universidade do Porto, Universidade do Porto, Porto, Portugal.

Objective: To evaluate the perspectives of tuberculosis experts from different countries regarding national screening procedures.

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Social networks consist of a group of individuals connected by family, work, or other interests and facilitated by an online structure or platform. They are also a relatively recent and widely used marketing phenomenon that is constantly evolving. The healthcare field includes professions such as social work, biology, biomedicine, physical education, nursing, pharmacy, physiotherapy, speech therapy, medicine, veterinary medicine, nutrition, dentistry, psychology, and occupational therapy.

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Transgenderism in studies on the health of older adults: a systematic review.

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January 2025

Universidade Federal de Pernambuco, Programa de Pós-Graduação em Gerontologia, Recife, PE, Brasil.

Objective: To describe how transgenderism is studied in research on the health of older adults.

Methods: This was a systematic literature review, with searches conducted in September 2022 across the LILACS, MEDLINE/ PubMed, Embase, Web of Science and Scopus databases. The articles were selected independently by two reviewers.

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Siderophore synthetase-receptor gene coevolution reveals habitat- and pathogen-specific bacterial iron interaction networks.

Sci Adv

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Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.

Bacterial social interactions play crucial roles in various ecological, medical, and biotechnological contexts. However, predicting these interactions from genome sequences is notoriously difficult. Here, we developed bioinformatic tools to predict whether secreted iron-scavenging siderophores stimulate or inhibit the growth of community members.

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